Impact of COVID-19 pandemic on mental health in the general population: A systematic review

Prospective and Cross-Sectional Factors Predicting Caregiver Motivation to Vaccinate Children with Attention-Deficit/Hyperactivity Disorder against COVID-19: A Follow-Up Study

Adolescents with attention-deficit/hyperactivity disorder (ADHD) have higher risks of contracting COVID-19 and worse outcomes compared with adolescents without ADHD. The most effective method of preventing infection is vaccination. This follow-up study explored the prospective and cross-sectional factors influencing caregiver willingness to vaccinate children with ADHD against COVID-19. Baseline data on caregiver demographics, affiliate stigma, parenting stress, emotional difficulties, beliefs regarding the causes of ADHD, and ADHD symptoms were collected prior to the outbreak of the COVID-19 pandemic in Taiwan. At follow-up, the study assessed caregiver willingness to vaccinate children with ADHD, the challenges caregivers faced in parenting during the pandemic, and ADHD symptoms. The results revealed that caregiver age at baseline was positively associated with a willingness to vaccinate children against COVID-19 at follow-up. By contrast, the belief that ADHD resulted from failures in parental discipline at baseline was negatively associated with caregiver willingness to vaccinate. Parenting challenges were also negatively associated with caregiver willingness to vaccinate. Therefore, the age of caregivers, beliefs about the causes of ADHD, and parenting challenges during the pandemic should be considered when developing interventions to enhance caregiver willingness to vaccinate children with ADHD.

Unpaid caregiving and mental health during the COVID-19 pandemic-A systematic review of the quantitative literature

The COVID-19 pandemic imposed additional and specific challenges on the lives and wellbeing of informal unpaid carers. Addressing an important gap in the existing literature, this systematic review (prospectively registered with PROSPERO CRD42022376012) synthesises and evaluates the quantitative evidence examining the association between unpaid caregiving and mental health (compared to non-caring), during the pandemic. Five databases were searched (Medline, PsycInfo, EMBASE, Scopus, Web of Science) from Jan 1, 2020, to March 1, 2023. Population-based, peer-reviewed quantitative studies using any observational design were included, with screening, data extraction and quality assessment (amended NOS) independently conducted by two reviewers. Of the 3,073 records screened, 20 eligible studies (113,151 participants) were included. Overall quality of evidence was moderate. Narrative synthesis was complemented by Effect-direction and Albatross plots (given significant between-study heterogeneity precluded meta-analysis). Results indicate that the mental health of informal carers, already poorer pre-COVID compared to non-caregivers, was disproportionally impacted as a result of the pandemic and its associated public health containment measures. This review highlights the vulnerability of this group and should motivate political will and commensurate policies to ensure unpaid caregivers are better supported now, in the medium term, and crucially if, and when, another global public health emergency emerges.

Navigating Novel Viral Challenges: Understanding, Tracking, and Mitigating Emerging Threats

The emergence of new viral threats continues to pose significant challenges to global health security [...].

Machine learning models predict the emergence of depression in Argentinean college students during periods of COVID-19 quarantine

Introduction

The COVID-19 pandemic has exacerbated mental health challenges, particularly depression among college students. Detecting at-risk students early is crucial but remains challenging, particularly in developing countries. Utilizing data-driven predictive models presents a viable solution to address this pressing need.

Aims

1) To develop and compare machine learning (ML) models for predicting depression in Argentinean students during the pandemic. 2) To assess the performance of classification and regression models using appropriate metrics. 3) To identify key features driving depression prediction.

Methods

A longitudinal dataset (N = 1492 college students) captured T1 and T2 measurements during the Argentinean COVID-19 quarantine. ML models, including linear logistic regression classifiers/ridge regression (LogReg/RR), random forest classifiers/regressors, and support vector machines/regressors (SVM/SVR), are employed. Assessed features encompass depression and anxiety scores (at T1), mental disorder/suicidal behavior history, quarantine sub-period information, sex, and age. For classification, models' performance on test data is evaluated using Area Under the Precision-Recall Curve (AUPRC), Area Under the Receiver Operating Characteristic curve, Balanced Accuracy, F1 score, and Brier loss. For regression, R-squared (R2), Mean Absolute Error, and Mean Squared Error are assessed. Univariate analyses are conducted to assess the predictive strength of each individual feature with respect to the target variable. The performance of multi- vs univariate models is compared using the mean AUPRC score for classifiers and the R2 score for regressors.

Results

The highest performance is achieved by SVM and LogReg (e.g., AUPRC: 0.76, 95% CI: 0.69, 0.81) and SVR and RR models (e.g., R2 for SVR and RR: 0.56, 95% CI: 0.45, 0.64 and 0.45, 0.63, respectively). Univariate models, particularly LogReg and SVM using depression (AUPRC: 0.72, 95% CI: 0.64, 0.79) or anxiety scores (AUPRC: 0.71, 95% CI: 0.64, 0.78) and RR using depression scores (R2: 0.48, 95% CI: 0.39, 0.57) exhibit performance levels close to those of the multivariate models, which include all features.

Discussion

These findings highlight the relevance of pre-existing depression and anxiety conditions in predicting depression during quarantine, underscoring their comorbidity. ML models, particularly SVM/SVR and LogReg/RR, demonstrate potential in the timely detection of at-risk students. However, further studies are needed before clinical implementation.

Social support, distress, stress, anxiety, and depression as predictors of suicidal thoughts among selected university students in Bangladesh

This study examines the association of perceived social support with suicidal thoughts among a young adult sample of university students and estimates the degree to which perceived stress, distress, anxiety, and depression may explain the association. A cross-sectional survey was conducted from June to September 2022 among 642 students, selected using the probability proportional to size procedure, at a large university in Bangladesh. We used the Multidimensional Scale of Perceived Social Support (MSPSS) to measure support. The Impact of Events Scale-Revised (IES-R), the Perceived Stress Scale (PSS-10), the Generalized Anxiety Disorders (GAD-7) scale, and the Patient Health Questionnaire (PHQ-9) were used to assess distress, stress, anxiety, and depression. The association between social support and suicidal thoughts was examined using multivariable logistic regression models. Mediation analyses were carried out using the Karlson, Holm, and Breen (KHB) method. We found that perceived social support was associated with lower odds of suicidal thoughts after controlling for other variables (adjusted odds ratio = 0.94; 95% confidence interval = 0.92-0.96). Mediation analysis showed that, after adjusting for potential confounders, the mediating effects among the total effect of perceived social support on suicidal thoughts were 56.1%, 20.8%, 22.5%, 38.8%, and 50.9% for all mental disorders together and four specific adverse mental health outcomes, i.e., perceived distress, stress, anxiety, and depression, respectively. This study demonstrates that perceived social support reduces the likelihood of suicidal thoughts among university students, and mental disorders have a partial mediating effect on the association. Suicide prevention and mental health promotion efforts among university students should consider encouraging students to build and strengthen a strong social support network.

Study on the impact of COVID-19 pandemic on the mental health of Chinese college students: a cross-sectional analysis

Background

The COVID-19 pandemic has significantly impacted the mental health of college students, prompting the need for universities to implement measures to mitigate these adverse effects. This study aims to assess the mental health status and mitigation measures of college students, identify the primary factors contributing to their mental health challenges, and provide suggestions for educational institutions to reduce negative psychological impacts.

Methods

In February 2023, a questionnaire survey was conducted among 1,445 college students. Statistical analysis was performed on the survey results, and multiple regression models were used to identify significant influencing factors and optimize the model.

Results

The study revealed correlations between factors affecting mental health during the pandemic, with interactions observed among some factors. Significant differences in mental health status were found among different groups of college students based on their information-sharing habits through apps and engagement in thesis research. Multiple regression analysis indicated that conducting academic research related to COVID-19 significantly increased the psychological stress of college students during the pandemic (p = 0.043). Among all mitigation measures, playing games demonstrated significant effectiveness in model analysis (p = 0.047). The optimization of the model showed that the multiple regression model considering the interaction of factors was more effective.

Conclusion

Our research identifies crucial factors influencing the mental health of college students and investigates the mental health status of various student groups. We recommend that educational institutions adopt proactive strategies and a multifaceted approach to support the mental health of college students and address potential issues that may arise.

Areas of interest and sentiment analysis towards second generation antipsychotics, lithium and mood stabilizing anticonvulsants: Unsupervised analysis using Twitter

BACKGROUND

Severe mental disorders like Schizophrenia and related psychotic disorders (SRD) or Bipolar Disorder (BD) require pharmacological treatment for relapse prevention and quality of life improvement. Yet, treatment adherence is a challenge, partly due to patients' attitudes and beliefs towards their medication. Social media listening offers insights into patient experiences and preferences, particularly in severe mental disorders.

METHODS

All tweets posted between 2008 and 2022 mentioning the names of the main drugs used in SRD and BD were analyzed using advanced artificial intelligence techniques such as machine learning, and deep learning, along with natural language processing.

RESULTS

In this 15-year study analyzing 893,289 tweets, second generation antipsychotics received more mentions in English tweets, whereas mood stabilizers received more tweets in Spanish. English tweets about economic and legal aspects displayed negative emotions, while Spanish tweets seeking advice showed surprise. Moreover, a recurring theme in Spanish tweets was the shortage of medications, evoking feelings of anger among users.

LIMITATIONS

This study's analysis of Twitter data, while insightful, may not fully capture the nuances of discussions due to the platform's brevity. Additionally, the wide therapeutic use of the studied drugs, complicates the isolation of disorder-specific discourse. Only English and Spanish tweets were examined, limiting the cultural breadth of the findings.

CONCLUSION

This study emphasizes the importance of social media research in understanding user perceptions of SRD and BD treatments. The results provide valuable insights for clinicians when considering how patients and the general public view and communicate about these treatments in the digital environment.

Exploring the relationship between coping styles and well-being among Chinese university students: A longitudinal study based on the transactional stress model

In the context of the COVID-19 pandemic, university students were exposed to increased stress, which significantly affected their well-being. This study examines the coping mechanisms employed by Chinese university students during this crisis, with a particular focus on the potential protective role of coping flexibility in maintaining their well-being. Using the transactional stress model and the dual-process theory of coping flexibility, this longitudinal study analyzed the responses of 206 Chinese university students at three measurement points in late 2022. The findings suggest that disruptions in daily life during the pandemic likely led students to engage in problematic internet use as a coping strategy, which subsequently led to reduced well-being. However, the study also shows that coping flexibility plays a crucial protective role in maintaining students' well-being. These findings highlight the urgent need for targeted interventions aimed at enhancing coping flexibility among university students, especially in the evolving post-pandemic landscape.

Measuring the psychosocial impact of COVID-19 by means of the "international student well-being study questionnaire": Evidence on Italian university students

Background

The COVID-19 pandemic appeared as an unpredictable disruption of daily activities. This situation produced a unique mental health impact for the general population, youth, and vulnerable groups. A documented consequence has been alcohol abuse and impaired mental health. To our knowledge, no published study has yet evaluated the rates of depressive symptoms, academic frustration, and substance abuse in the Italian student population in the COVID era linking them to sociodemographic variables.

Aims

To investigate the incidence of depressive symptoms, academic frustration, and substance abuse students developed in one university in Northern Italy during the first COVID-19 outbreak, using a student wellbeing framework borrowed from Allardt's and Bronfenbrenner's theories.

Methods

Descriptive statistics, correlations, Wilcoxon test and factorial ANOVA were performed on data gathered through an online questionnaire sent to a convenience sample of university students. Data collection occurred between 18 May and June 21, 2020.

Results

According to the framework used, Being was the dimension of sociodemographic variables, Having was economic support and Loving was social support. Students experienced academic frustration and related depressive symptoms. Male gender seemed to be less affected by the depressive syndrome. With regard to economic support and related repercussions on depressive symptoms, students who reported that they could not obtain a loan showed significantly higher depressive symptoms. Students benefiting from greater financial support showed less academic frustration. Age appeared to be a predictor of academic frustration since young students proved to be the most frustrated. The examined students' population showed a significant decrease in alcohol and cigarettes consumption.

Conclusions

Having and Being dimensions influenced depression and academic frustration. Having and Loving dimensions were related with use of substances. The study findings support the implementation of interventions to help students, at a psychological, social, financial level aiming at fostering the quality of students' educational life.

Impact of the COVID-19 pandemic on clinical and psychological aspects of temporomandibular disorders

BACKGROUND

The Coronavirus 2019 disease (COVID-19) caused drastic changes in people's lifestyle that affected TMD characteristics through its physical and psychological influences. The aim of this study was to define the clinical and psychological characteristics of a large group of well-defined TMD patients and seek their differences between before and during the COVID-19 pandemic to establish points of care to be emphasized in the post-pandemic era.

METHODS

TMD patients diagnosed by the Diagnostic Criteria for Temporomandibular Disorders (DC/TMD) aged ≥ 18 were analyzed. Samples between September, 2017 to July, 2019 (n = 455) and March, 2021 to June, 2022 (n = 338) were collected to represent before and during COVID-19, respectively. The Graded Chronic Pain Scale (GCPS) and Symptom Checklist-90-Revision (SCL-90-R) were used to evaluate disability levels and psychological status. Clinical indices were compared between COVID periods and factors related to higher pain levels were investigated according to pandemic period.

RESULTS

More patients reported pain on palpation of the masticatory muscles during the pandemic (p = 0.021) while the number decreased for neck muscles (p = 0.001) and TMJ (p < 0.001) areas. Patients reporting nocturnal bruxism (23.3-29.6%) and clenching (45.1-54.7%) significantly increased during the pandemic. TMD patients with pain without disability were more common during the pandemic regardless of pain intensity (p < 0.001). The number of patients expressing interference in daily activities decreased drastically during COVID-19 regardless of disability level (p < 0.001). Factors associated with higher than moderate pain intensity (CPI ≥ 50) were insomnia (odds ratio [OR] = 1.603, p = 0.047) and somatization (OR = 1.082, p < 0.001) before the pandemic. During the pandemic, age (OR = 1.024, p = 0.007), somatization (OR = 1.070, p = 0.006), and paranoid ideation (OR = 1.117, p = 0.003) were significantly associated with higher pain intensity.

CONCLUSIONS

The results of our study underline the importance of evaluating psychological profiles of TMD patients, especially somatization, paranoid ideation and psychoticism, in exceptional situations that may cause a change in individual mental status. This will lead to a better understanding of the individual TMD patient and help in planning personalized treatment strategies that will assist the patient in adjusting to changes occurring in special environments such as the COVID-19 pandemic.

Insomnia is more likely to persist than remit after a time of stress and uncertainty: a longitudinal cohort study examining trajectories and predictors of insomnia symptoms

STUDY OBJECTIVES

The study aimed to characterize insomnia symptom trajectories over 12 months during a time of stress and uncertainty, the coronavirus disease 2019 (COVID-19) pandemic. It also aimed to investigate sleep and psychological predictors of persistent insomnia symptoms.

METHODS

This longitudinal cohort study comprised 2069 participants with and without insomnia symptoms during the first year of the pandemic. Participants completed online surveys investigating sleep, insomnia, and mental health at four timepoints over 12 months (April 2020-May 2021). Additional trait-level cognitive/psychological questionnaires were administered at 3 months only.

RESULTS

Six distinct classes of insomnia symptoms emerged: (1) severe persistent insomnia symptoms (21.65%), (2) moderate persistent insomnia symptoms (32.62%), (3) persistent good sleep (32.82%), (4) severe insomnia symptoms at baseline but remitting over time (2.27%), (5) moderate insomnia symptoms at baseline but remitting over time (7.78%), and (6) good sleep at baseline but deteriorating into insomnia symptoms over time (2.85%). Persistent insomnia trajectories were predicted by high levels of sleep reactivity, sleep effort, pre-sleep cognitive arousal, and depressive symptoms at baseline. A combination of high sleep reactivity and sleep effort reduced the odds of insomnia remitting. Higher sleep reactivity also predicted the deterioration of good sleep into insomnia symptoms over 12 months. Lastly, intolerance of uncertainty emerged as the only trait-level cognitive/psychological predictor of insomnia trajectory classes.

CONCLUSIONS

Insomnia was more likely to persist than remit over the first year of the COVID-19 pandemic. Addressing sleep reactivity and sleep effort appears critical for reducing insomnia persistence rates after times of stress and uncertainty.

Assessment of the Impact of SARS-CoV-2 Infection on the Sexual Function of Women, Levels of Oxytocin and Prolactin: A Prospective Cohort Study

(1) Background: There is a lack of direct evidence on whether SARS-CoV-2 affects women's sexual function through a biological-organic mechanism. Existing studies on the topic are few and have produced contradictory results. This study aims to explore the possible relationship between sex hormones and sexual function in patients who have been infected with SARS-CoV-2. Moreover, we aimed to determine whether these changes are related to the clinical course of COVID-19 and whether they are temporary or long-lasting. (2) Methods: A study was conducted on 104 women, including 64 women infected with COVID-19 and a control group of 40 healthy women, between January 2021 and August 2022. Blood samples were collected to measure prolactin and oxytocin levels, and a clinical assessment was performed 3 and 6 months later. Sexual function self-assessment was captured based on the FSFI scale. (3) Results: Our study found that patients with severe COVID-19 had better sexual satisfaction scores one month after recovery but no discernible difference after six months. High levels of serum prolactin were observed in patients with active COVID-19 but became similar to a control group after one month and remained stable over time. Higher prolactin levels were significantly associated with increased arousal and hydration. Individuals with severe COVID-19 had notably low levels of plasma oxytocin, but there was no correlation between oxytocin levels and sexual satisfaction. (4) Conclusions: The gynecologic symptoms, as well as disturbances in oxytocin and prolactin levels, might be observed in a short time after infection. However, SARS-CoV-2 infection has no lasting effect on sexual function, oxytocin, and prolactin levels among women.

COVID-19 Pandemic Risk Assessment: Systematic Review

Background

The COVID-19 pandemic presents the possibility of future large-scale infectious disease outbreaks. In response, we conducted a systematic review of COVID-19 pandemic risk assessment to provide insights into countries' pandemic surveillance and preparedness for potential pandemic events in the post-COVID-19 era.

Objective

We aim to systematically identify relevant articles and synthesize pandemic risk assessment findings to facilitate government officials and public health experts in crisis planning.

Methods

This study followed the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines and included over 620,000 records from the World Health Organization COVID-19 Research Database. Articles related to pandemic risk assessment were identified based on a set of inclusion and exclusion criteria. Relevant articles were characterized based on study location, variable types, data-visualization techniques, research objectives, and methodologies. Findings were presented using tables and charts.

Results

Sixty-two articles satisfying both the inclusion and exclusion criteria were identified. Among the articles, 32.3% focused on local areas, while another 32.3% had a global coverage. Epidemic data were the most commonly used variables (74.2% of articles), with over half of them (51.6%) employing two or more variable types. The research objectives covered various aspects of the COVID-19 pandemic, with risk exposure assessment and identification of risk factors being the most common theme (35.5%). No dominant research methodology for risk assessment emerged from these articles.

Conclusion

Our synthesized findings support proactive planning and development of prevention and control measures in anticipation of future public health threats.

The efficacy of a virtual and in-person mindfulness-based intervention course on university students' during COVID-19 pandemic

Objective: The purpose of this research was to evaluate the impact of a mindfulness-based intervention (MBI) on university students during the COVID-19 pandemic. Methods and participants: There were 53 participants who voluntarily enrolled in a mindfulness course at a regional state university (24 virtual and 29 in-person) and 56 in the control group. Participants completed surveys at the beginning and end of the course on mindfulness, life satisfaction, and resilience. Results: Results revealed that the in-person group showed significantly higher mindfulness, life satisfaction, and resilience over the course of the semester. The virtual group showed increases across all three variables as well, but only significantly improved on resilience. Conclusion: Results indicate that the inclusion of MBIs in university courses may be a cost-effective and proactive means to support the mental health and well-being of college students, and that in-person delivery may be a more effective modality.

Associations of Anti-COVID-19 Measures and Lifestyle Changes During the COVID-19 Pandemic With Sleep Patterns in the Netherlands: A Longitudinal Study

Although there is scientific evidence for an increased prevalence of sleep disorders during the coronavirus disease 2019 (COVID-19) pandemic, there is still limited information on how lifestyle factors might have affected sleep patterns. Therefore, we followed a large cohort of participants in the Netherlands (n = 5,420) for up to 1 year (September 2020-2021) via monthly Web-based questionnaires to identify lifestyle changes (physical activity, cigarette smoking, alcohol consumption, electronic device use, and social media use) driven by anti-COVID-19 measures and their potential associations with self-reported sleep (latency, duration, and quality). We used the Containment and Health Index (CHI) to assess the stringency of anti-COVID-19 measures and analyzed associations through multilevel ordinal response models. We found that more stringent anti-COVID-19 measures were associated with higher use of electronic devices (per interquartile-range increase in CHI, odds ratio (OR) = 1.47, 95% confidence interval (CI): 1.40, 1.53), less physical activity (OR = 0.94, 95% CI: 0.90, 0.98), lower frequency of alcohol consumption (OR = 0.63, 95% CI: 0.60, 0.66), and longer sleep duration (OR = 1.11, 95% CI: 1.05, 1.16). Lower alcohol consumption frequency and higher use of electronic devices and social media were associated with longer sleep latency. Lower physical activity levels and higher social media and electronic device use were related to poorer sleep quality and shorter sleep duration.

Heterogeneity of the effect of the COVID-19 pandemic on the incidence of Metabolic Syndrome onset at a Japanese campus

Background

The coronavirus disease 2019 (COVID-19) outbreak began in China in December 2019, with the World Health Organization declaring a state of emergency in January 2020. Worldwide implementation of lockdown measures to slow the spread of the virus led to reduced physical activity, disrupted eating habits, mental health issues, and sleep disturbances, which increased the risk of lifestyle-related diseases such as metabolic syndrome (MetS). During the COVID-19 pandemic, healthcare workers, especially intensive care workers, experienced longer working hours and burnout, which further increased the risk of lifestyle-related diseases. Accordingly, it is important to identify individuals at a risk of new-onset MetS during a pandemic, which could direct preventive interventions. This study aimed to assess the heterogeneous impact of the COVID-19 pandemic on the incidence of new-onset MetS based on the conditional average treatment effect (CATE) and to identify at-risk populations.

Methods

This study analyzed health checkup data obtained from Okayama University Shikata Campus workers using paired baseline and follow-up years. Baseline data encompassed 2017 to 2019, with respective follow-up data from 2018 to 2020. Furthermore, as the COVID-19 pandemic in Japan began in January 2020, workers who underwent follow-up health checkups in 2018 to 2019 and 2020 were considered as "unexposed" and "exposed," respectively. As the Shikata campus has several departments, comparisons among departments were made. The primary outcome was new-onset MetS at follow-up. Predictor variables included baseline health checkup results, sex, age, and department (administrative, research, medical, or intensive care department). X-learner was used to calculate the CATE.

Results

This study included 3,572 eligible individuals (unexposed, n = 2,181; exposed, n = 1,391). Among them, 1,544 (70.8%) and 866 (62.3%) participants in the unexposed and exposed groups, respectively, were females. The mean age (±standard deviation) of the unexposed and exposed groups was 48.2 ± 8.2 and 47.8 ± 8.3 years, respectively. The COVID-19 pandemic increased the average probability of new-onset MetS by 4.4% in the overall population. According to the department, the intensive care department showed the highest CATE, with a 15.4% increase. Moreover, there was large heterogeneity according to the department. The high-CATE group was characterized by older age, urinary protein, elevated liver enzymes, higher triglyceride levels, and a history of hyperlipidemia treatment.

Conclusions

This study demonstrated that the COVID-19 pandemic increased the incidence of new-onset MetS, with this effect showing heterogeneity at a single Japanese campus. Regarding specific populations, workers in the intensive care department showed an increased risk of new-onset MetS. At-risk populations require specific preventive interventions in case the current COVID-19 pandemic persists or a new pandemic occurs.

Health Protection And Improvement Sensitivity For Covid-19 Pandemic: Turkey's Case

This descriptive study was aimed at identifying the anxiety levels of Turkish people in the first three months of the pandemic, the coping methods they use to control this anxiety, and their knowledge and behavior about protection and prevention against COVID-19. The data were collected from 571 individuals. Of the individuals, 84.6% had anxiety. The anxiety levels of those who kept working during the pandemic were significantly higher than were the anxiety levels of those who did not (p < .05). The participants experienced a moderate level of anxiety, and they mostly used relaxation techniques, music therapy, and prayer/worship to cope with anxiety. The knowledge level of the individuals about COVID-19 was moderate.

Description of a telehealth mental health programme in the framework of the COVID-19 pandemic in Colombia

BACKGROUND

A telehealth mental health programme was designed at the LivingLab of the Faculty of Medicine of the Universidad de Antioquia [University of Antioquia].

OBJECTIVES

To describe the development and operation of the programme and evaluate the satisfaction of the patients treated during the COVID-19 pandemic in 2020 and 2021.

METHODS

Descriptive study that details the development of the programme. Data were extracted from medical records to describe the patients who were treated. A satisfaction scale was applied to a random sample and the data were summarised with descriptive statistics.

RESULTS

In March 2020 and August 2021, 10,229 patients were treated, with 20,276 treated by telepsychology and 4,164 by psychiatry, 1,808 by telepsychiatry and 2,356 by tele-expertise, with a total of 6,312 visits. The most frequent diagnoses were depressive (36.8%), anxiety (12.0%), and psychotic (10.7%) disorders. Respondents were satisfied to the point that more than 93% would recommend it to another person.

CONCLUSIONS

The LivingLab telehealth mental health programme allowed for the care of patients with mental health problems and disorders in Antioquia during the first two years of the COVID-19 pandemic, and there was a high degree of satisfaction among the beneficiaries. Therefore it could be adopted in mental health care.

The impact of catastrophic events on the sex ratio at birth: A systematic review

OBJECTIVE

The impact of maternal stress on birth outcomes is well established in the scientific research. The sex ratio at birth (SRB), namely the ratio of male to female live births, shows significant alteration when mothers experience acute stress conditions, as proposed by the Trivers-Willard Hypothesis. We aimed to synthetize the literature on the relationship between two exogenous and catastrophic stressful events (natural disasters and epidemics) and SRB.

METHODS

A systematic search was run in Scopus, PubMed, Web of Science, and Cochrane Library, until March 9, 2023. The search produced 1336 articles and 25 articles met the inclusion criteria. We found seven case-control studies and 18 observational studies. Most of studies investigated the impact of earthquakes and other natural disasters. Only seven studies examined the effect of epidemics or pandemics.

RESULTS

The results of the studies seem inconsistent, as 16 studies found a decline in SRB, three found a rise, four did not record any change and two studies gave contradictory results. The period and population analyzed, the source of information, the method of variance analysis in the SRB, and the failure to assess confounding variables may have influenced the incongruence of the results.

CONCLUSION

Our findings contribute to improve the knowledge about the relationship between socio-ecological factors and SRB. Future studies should investigate the mechanisms by which this relationship impacts public health, in particular the health of pregnant women and their newborn, through an accurate and consistent methodology that also includes confounding factors.

The Impact of COVID-19 on Mental Health in Medical Students: A Cross-Sectional Survey Study in Italy

Background: This study aimed to assess the impact of the COVID-19 pandemic in terms of the prevalence of anxiety, depression and stress symptoms in Italian medical students and to identify the associated factors. Design and Methods: A cross-sectional online survey was administered to second-sixth year medical students of the University of Torino, collecting data on the students' sociodemographics, COVID-19 exposure, anxiety, depression and stress symptoms. Three hierarchical regressions adjusted for age, gender and year of study were executed. Results: The sample size was 1359. The prevalence of anxiety, depression symptoms, moderate perceived stress and severe perceived stress was 47.8%, 52.1%, 56.2% and 28.4%, respectively. The factors associated with mental health symptoms were: being a woman, a family history of psychiatric disorders, living off-site, competitive/hostile climates and unsatisfying friendships among classmates, poor relationships with cohabitants, negative judgment of medical school choice, fear of COVID-19 infection, feelings of loneliness, distressing existential reflections, and a worsening psychological condition related to the pandemic. Being in the fourth or sixth year constituted a protective factor for depression symptoms. Conclusions: Mental health in medical students was associated with both COVID-independent and COVID-related factors. Accessibility to effective interventions must be increased to counteract these changes.

Common mental health problems and associated factors among recovered COVID-19 patients in rural area: A community-based survey in Bangladesh

PURPOSE

Since the coronavirus (COVID-19) was announced as being a global pandemic on 11 March, governments from all parts of the world declared a quarantine period, during which people were prohibited from leaving their homes (except for essential activities) to contain the spread of the virus. Since then, the population has faced different levels of restrictions (i.e., mobility, social activities) that limited participation in normal daily routines. Consequently, these restrictions may have adversely changed physical activity, diet, sleep patterns, and screen time or work routine. So, the pandemic has had profound influence on the mental health of the entire societies. As the mental health status of Bangladeshi patients living in rural area that have recovered from COVID-19 has not been previously studied, this gap is addressed through the present investigation focusing on one rural Bangladeshi community.

METHODS

A convenience sampling method was employed to recruit participants for this cross-sectional study. Data was gathered by conducting face-to-face interviews with 243 recovered COVID-19 patients (as confirmed by a positive Reverse Transcription PCR test) attending a local primary health care facility center and instructed to consider how they felt in the preceding week.

RESULTS

By administering a validated Bengali version of the Depression, Anxiety, and Stress Scale (DASS-21) to measure participants' mental health status, we noted that 24% of the sample exhibited depressive symptoms. In addition, 30.9% and 21.8% of the participants experienced stress symptoms and reported anxiety, respectively. Sociodemographic factors such as female sex, lower educational level, living away from family, smaller living accommodations, and lower economic status significantly predicted mental health outcomes in multivariate logistic regressions.

CONCLUSION

These results may help health care providers formulate proper mental health interventions and preventive measures to minimize the mental health problems among patients that have recovered from COVID-19.

Impact of COVID-19 on people with non-functioning spleens in Australia

BACKGROUND

COVID-19 has had enormous impact on health and social systems, with stringent public health measures enacted across Australia. The virus itself disproportionately affects immunocompromised individuals including people without functioning spleens. We thus sought to characterise the psychological and physical impact of COVID-19 and such measures upon this oft-neglected patient group.

METHODS

Adults ≥ 18 years old identified from the Spleen Australia (SA) database were invited to participate in an online survey in November to December 2021 to assess the impact of the COVID-19 pandemic. Stata (v17, StataCorps, Texas, USA) was used to conduct descriptive and frequency analyses.

RESULTS

2864 respondents were surveyed. The majority were female (1473/2838, 51.9%), Australian-born (2257/2835, 79.6%), and living in Victoria (1755/2822, 62.2%). The largest age group was 61-70 years-old (841/2858, 29.4%). Trauma was the commonest reason for asplenia (826/2724, 30.3%). Respondents reported the pandemic reduced their ability to visit a GP (753/2864, 26.3%), access food (153/2864, 5.3%), medications (179/2864, 6.3%) or spleen-specific vaccines (120/2864, 4.2%), maintain relationships (503/2864, 17.6%), or care for children (127/2864, 4.4%). 84.8% of participants reported at least one impact of COVID, including negative physical health (1463/2864, 51.1%), mental health (733/2864, 25.6%) and financial repercussions (509/2864, 17.8%). 96.9% (2743/2831) had received at least one dose of COVID-19 vaccines.

CONCLUSIONS

Overall, we found detailed evidence of the negative psychological and physical impacts of the pandemic upon this cohort. We recommend that providers consider people without functioning spleens as requiring extra social and psychological support in circumstances such as the COVID-19 pandemic.

Persistence of anxiety among Asian Americans: racial and ethnic heterogeneity in the longitudinal trends in mental well-being during the COVID-19 pandemic

PURPOSE

To examine within-individual time trends in mental well-being and factors influencing heterogeneity of these trends.

METHODS

Longitudinal telephone survey of adults over 3 waves from the New York City (NYC) Metropolitan area during the COVID-19 Pandemic. Participants reported depression using the Patient Health Questionnaire (PHQ)-8, anxiety using the Generalized Anxiety Disorder (GAD)-7, and past 30-day increases in tobacco or alcohol use at each wave. Adjusted mixed effects logistic regression models assessed time trends in mental well-being.

RESULTS

There were 1227 respondents. Over 3 study waves, there were statistically significant decreasing time trends in the odds of each outcome (adjusted OR (95% CI) 0.47 (0.37, 0.60); p < 0.001 for depression; aOR (95% CI) 0.55 (0.45, 0.66); p < 0.001 for anxiety; aOR (95% CI) 0.50 (0.35, 0.71); p < 0.001 for past 30-day increased tobacco use; aOR (95% CI) 0.31 (0.24, 0.40); p < 0.001 for past 30-day increased alcohol use). Time trends for anxiety varied by race and ethnicity (p value for interaction = 0.05, 4 df); anxiety declined over time among white, Black, Hispanic, and Other race and ethnicity but not among Asian participants.

CONCLUSIONS

In a demographically varied population from the NYC Metropolitan area, depression, anxiety and increased substance use were common during the first months of the pandemic, but decreased over the following year. While this was consistently the case across most demographic groups, the odds of anxiety among Asian participants did not decrease over time.

Gut microbiota: A potential player in psychiatric symptoms during COVID-19

OBJECTIVES

This study aims to explore the potential interconnections among gut microbiota, COVID-19 infection, depression and anxiety disorder. Additionally, it tries to assess potential therapeutic interventions that may improve the dysbiosis of gut microbiota.

METHODS

To achieve these objectives, we reviewed existing literature, encompassing studies and critical reviews that intersect the domains of gut microbiota, COVID-19, depression and anxiety disorders.

RESULTS

The findings highlight a notable correlation between the dysbiosis of gut microbiota and psychiatric symptoms in the context of COVID-19. Specifically, there is a marked reduction in the populations of bacteria that generate anti-inflammatory short-chain fatty acids (SCFAs), alongside a rise in the prevalence of gut bacterial clusters linked to inflammatory processes. Furthermore, several potential treatment strategies were summarised for improving the dysbiosis.

CONCLUSIONS

Gut microbiota plays a significant role in psychiatric symptoms during COVID-19, which has significant implications for the study and prevention of psychiatric symptoms in major epidemic diseases.

Effects of working from home on lifestyle behaviors and mental health during the COVID-19 pandemic: A survey study

The COVID-19 outbreak has led to relevant changes in everyday life worldwide. One of these changes has been a rapid transition to and an increasing implementation of working from home (WH) modality. This study aimed to evaluate the impact of mandatory WH during the COVID-19 pandemic on lifestyle behaviors, Mediterranean diet adherence, body weight, and depression. An online cross-sectional survey was conducted in the early 2022 at the National Research Council of Italy using ad hoc questions and validated scales collecting information on physical activity, sedentary behavior, hobbies/pastimes, dietary habits including adherence to the Mediterranean diet, body weight, and depression during WH compared with before WH. 748 respondents were included in the study. An increased sedentary lifetime was reported by 48% of respondents; however, the subsample of workers who previously performed moderate physical activity intensified this activity. Body weight gain during WH was self-reported in 39.9% of respondents. Mediterranean diet adherence increased (p≪0.001) during WH compared with before WH. The average level of mental health did not record an overall variation; however, the proportion of subjects with mild and moderate depression increased (p = 0.006), while workers who reported values indicative of depression before the transition declared an improvement. These findings highlight health-related impact of WH during the COVID-19 pandemic that may inform future strategies and policies to improve employees' health and well-being.

Age-related differences in the impact of resilience on mental health outcomes during the COVID-19 pandemic in Hong Kong

OBJECTIVE

This study investigated changes in mental health in Hong Kong over two years and examined the role of resilience and age in mitigating the negative effects of public health emergencies, particularly the COVID-19 pandemic.

METHODS

Complete data of interest from two telephone surveys conducted in 2020 (n = 1182) and 2021 (n = 1108) were analysed. Participants self-reported depressive and anxiety symptoms using the Patient Health Questionnaire 4-item version (PHQ), psychotic-like experiences (PLEs) using three items from the Prodromal Questionnaire Brief (PQB), and resilience using the Connor-Davidson Resilience Scale 2-item version (CD-RISC-2).

RESULTS

We observed an increase in the percentage of participants with high depressive and anxiety symptoms and PLEs from 1.6% to 6.5% between 2020 and 2021. The likelihood of having high depressive and anxiety symptoms or PLEs depended on resilience and age, with no significant between-year differences. Resilience and age interaction effects were significant when comparing the high PHQ-high PQB group to the low PHQ-low PQB group only in 2021 but not in 2020.

CONCLUSIONS

This study provides valuable insights into the impact of the COVID-19 pandemic on mental health in Hong Kong, emphasising the age-dependent nature of resilience in mitigating negative effects. Future research should explore the mechanisms by which resilience promotes mental health and well-being and identify ways to enhance resilience among older individuals during public health crises.

Depressive symptoms in youth before and during the COVID-19 pandemic: longitudinal investigation of patterns dependent on age, sex, and family history of mental illness

BACKGROUND

Cross-sectional studies report high levels of depressive symptoms during the COVID-19 pandemic, especially in youth and females. However, longitudinal research comparing depressive symptoms before and during the pandemic is lacking. Little is known about how the pandemic affected individuals with familial history of mental illness. The present study examines the impact of the pandemic on youth depressive symptoms, including offspring of parents with major mood and psychotic disorders.

METHODS

Between March 2018 and February 2020, we measured depressive symptoms in 412 youth aged 5-25 years. We measured depressive symptoms again in 371 (90%) of these youth between April 2020 and May 2022. Two thirds (249) participants had a biological parent with a major mood or psychotic disorder. We tested the effect of the pandemic by comparing depression symptoms before and after March 2020. We examined age, sex, and family history as potential moderators.

RESULTS

We found an overall small increase in youth depressive symptoms (b = 0.07, 95% CI -0.01 to 0.15, p = 0.062). This was driven by an increase in female youth without familial history of mental illness (b = 0.35, 95% CI 0.14 to 0.56, p = 0.001). There was no change in depressive symptoms among offspring of parents with mental illness or males.

CONCLUSIONS

Our results provide reassurance about the wellbeing of children of parents with mental illness during a period of restricted access to resources outside the family. Rather than increasing symptoms in established risk groups, the pandemic led to a redistribution of depression burden towards segments of the youth population that were previously considered to be low-risk.

Sub-acute pain after childbirth during COVID-19 pandemic: A secondary analysis of A prospective clinical trial

Background

COVID-19 pandemic could bring great impact upon the psychological statuses of post-partum women, but no clear evidence was provided yet as to COVID-19 would also affect their pain profile during post-partum period. We determined if pain and psychological vulnerabilities, obstetric factors, and labor analgesia were associated with sub-acute pain after childbirth (SAPC; ongoing pain related to delivery at post-partum 4 weeks or more) during COVID-19 pandemic.

Methods

We included women having a singleton pregnancy of ≥36 gestational weeks. The recruited women were given pre-delivery questionnaires to measure their pain and psychological vulnerabilities. At post-partum 6-10 weeks, an online survey was conducted to collect data on post-partum pain information.

Results

Of the 880 recruited women, 816 completed the post-partum pain survey, with 99 (12.1%) having developed SAPC. Giving birth during COVID-19 pandemic (adjusted odds ratio (aOR) 1.64, 95%CI 1.04 to 2.57), greater pre-delivery central sensitization (aOR 1.02, 95%CI 1.00 to 1.04), greater number of pain relief administered (aOR 1.49, 95%CI 1.18 to 1.89), having had artificial rupture of membrane and oxytocic during labor onset (aOR 3.00, 95%CI 1.66 to 5.40), greater volume of blood loss during delivery (every 100 ml; aOR 1.27, 95%CI 1.11 to 1.44), having had third-degree tear during delivery (aOR 4.40, 95%CI 1.33 to 14.51), and greater infant height (aOR 1.14, 95%CI 1.01 to 1.30) were independently associated with greater risk of SAPC. Having greater general health score was protective against the risk of SAPC (aOR 0.99, 95% CI 0.97 to 0.999) (Area under the curve (AUC) = 0.74).

Conclusions

The generated multivariable association model may help us better understand the shift in pain and psychological aspects of women during COVID-19 pandemic.

Weight Gain Prevention Outcomes From a Pragmatic Digital Health Intervention With Community Health Center Patients: Randomized Controlled Trial

BACKGROUND

The prevalence of obesity and its associated comorbidities continue to rise in the United States. Populations who are uninsured and from racial and ethnic minority groups continue to be disproportionately affected. These populations also experience fewer clinically meaningful outcomes in most weight loss trials. Weight gain prevention presents a useful strategy for individuals who experience barriers to weight loss. Given the often-limited weight management resources available to patients in primary care settings serving vulnerable patients, evaluating interventions with pragmatic designs may help inform the design of comprehensive obesity care delivered in primary care.

OBJECTIVE

This study aims to evaluate the effectiveness of Balance, a 2-arm, 12-month pragmatic randomized controlled trial of a digital weight gain prevention intervention, delivered to patients receiving primary care within federally qualified community health centers.

METHODS

Balance was a 2-arm, 12-month pragmatic randomized controlled trial of a digital weight gain prevention intervention delivered to individuals who had a BMI of 25-40 kg/m2, spoke English or Spanish, and were receiving primary care within a network of federally qualified community health centers in North Carolina. The Balance intervention was designed to encourage behavioral changes that result in a slight energy deficit. Intervention participants received tailored goal setting and tracking, skills training, self-monitoring, and responsive health coaching from registered dietitians. Weight was measured at regular primary care visits and documented in the electronic health record. We compared the percentage of ≤3% weight gain in each arm at 24 months after randomization-our primary outcome-using individual empirical best linear unbiased predictors from the linear mixed-effects model. We used individual empirical best linear unbiased predictors from participants with at least 1 electronic health record weight documented within a 6-month window centered on the 24-month time point.

RESULTS

We randomized 443 participants, of which 223 (50.3%) participants were allocated to the intervention arm. At baseline, participants had a mean BMI of 32.6 kg/m2. Most participants were Latino or Hispanic (n=200, 45.1%) or non-Latino or Hispanic White (n=115, 26%). In total, 53% (n=235) of participants had at least 1 visit with weight measured in the primary time window. The intervention group had a higher proportion with ≤3% weight gain at 6 months (risk ratio=1.12, 95% CI 0.94-1.28; risk difference=9.5, 95% CI -4.5 to 16.4 percentage points). This difference attenuated to the null by 24 months (risk ratio=1.00, 95% CI 0.82-1.20; risk difference=0.2, 95% CI -12.1 to 11.0 percentage points).

CONCLUSIONS

In adults with overweight or obesity receiving primary care at a community health center, we did not find long-term evidence to support the dissemination of a digital health intervention for weight gain prevention.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03003403; https://clinicaltrials.gov/study/NCT03003403.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.1186/s12889-019-6926-7.

Validation of the Pandemic Grief Risk Factors and Its Relationship With Work-Related Stress and Grief Reaction Among Healthcare Workers Who Witnessed Patient Deaths

BACKGROUND

The Pandemic Grief Risk Factors (PGRFs) was developed as a self-report tool to compile a comprehensive list of unique risk factors related to grief when experiencing a coronavirus disease 2019 (COVID-19) loss. We explored the reliability and validity of the PGRF among healthcare workers who witnessed their patients' deaths during the COVID-19 pandemic. Further, we examined whether the general severity of PGRF may have been associated with work-related stress and pandemic grief reactions.

METHODS

An online survey was conducted among tertiary hospital healthcare workers (doctors and nursing professionals) who had witnessed the deaths of patients they cared for. Pandemic Grief Scale for healthcare workers, the Stress and Anxiety to Viral Epidemics-3 items, the Patient Health Questionnaire-9, and the Generalized Anxiety Disorder-7 responses were collected.

RESULTS

In total, 267 responses were analyzed. The single-factor structure of the Korean version of the PGRF showed a good fit for the model. The scale demonstrated good internal consistency and convergent validity with other depression and anxiety rating scales. The mediation analysis revealed that work-related stress directly influenced pandemic grief reactions positively, and depression, anxiety, and general severity of grief risk factors partially mediated the association positively.

CONCLUSION

Among healthcare workers who witnessed the deaths of their patients due to COVID-19, the Korean version of the PGRF was valid and reliable for measuring the overall severity of PGRF. The PGRF can be used to identify individuals at risk for dysfunctional grief.

Gender, psychological distress, and subjective well-being two years after the onset of the COVID-19 pandemic in Spain

This study aimed to examine gender differences in distress and well-being two years after the onset of the COVID-19 pandemic, analyzing risk and protective factors for psychological distress and subjective well-being. It is a repeated cross-sectional study with a sample of 1,588 women (50%) and men (50%) from the general Spanish population aged 18-74 years who were assessed online by seven questionnaires and scales. Descriptive, variance, and hierarchical multiple regression analyses were performed. From February to April 2022, 57.4% of women and 38.7% of men had psychological distress, percentages that totaled 50.5% and 41.5%, respectively, from October 2022 to February 2023. Women also had greater perceived vulnerability to diseases, more negative feelings, and lower affect balance, resilience, and self-esteem than men. The most important predictors of greater psychological distress refer to lower self-esteem, resilience, and social support and higher perceived vulnerability to diseases. Other statistically significant predictors included lower educational level in women and neither being married nor living with a partner in men. Lower self-esteem also best predicted lower subjective well-being, with lower social support and lower resilience also constituting significant predictors. Moreover, lower educational level and higher perceived vulnerability to diseases statistically and significantly predicted lower subjective well-being in women, as did not being a student in men. We conclude that psychological distress remains greatly prevalent in Spain two years after the beginning of the COVID-19 pandemic, especially in women.

A comparative study of anxiety and depression among healthcare workers and non-healthcare workers in Johor, Malaysia during the Covid-19 era

The outbreak of Coronavirus disease 2019 (Covid-19) has a significant impact on the mental health of the global population. Updates are needed regarding the mental health status among the local population since limited studies were done so far. This research compared the prevalence of anxiety and depression symptoms among HCWs and non-HCWs. We also evaluated the factors associated with anxiety and depression symptoms among these 2 groups. This was a cross-sectional study conducted between September to December 2022. Online questionnaire was distributed to HCWs from 2 tertiary government hospitals. Non-HCWs from various occupational fields were recruited randomly. Generalised Anxiety Disorder 7 (GAD-7) and Patient Health Questionnaire 9 (PHQ-9) were used to screen for anxiety and depression symptoms respectively. Data were analyzed using IBM SPSS version 28.0. 200 questionnaires were distributed to HCWs and non-HCWs respectively. The response rate was 74.5% from HCWs and 82.5% from non-HCWs (P = .07). A total of 236 individuals (105 HCWs and 131 non-HCWs) were included in the study. Majority were female, married, highly educated and worked more than 8 hours per day. There was no significant difference for the prevalence of anxiety (37.2% vs 44.3%, P = .34) and depression symptoms (37.3% vs 35.1%, P = .75) between HCWs and non-HCWs. Among HCWs, poor workplace support (P = .009) and low income (P = .04) were associated with anxiety symptoms. Younger age (P = .02), single status (P = .01) and poor workplace support (P = .006) were associated with depression symptoms. More non-HCWs with a higher educational level were having anxiety and depression symptoms. Single status (P = .03), working away from home (P = .02), poor family support (P = .03) and quarantine as Covid-19 close contact (P = .04) were also associated with depression symptoms among non-HCWs. There is no significant difference between HCWs and non-HCWs experiencing possible anxiety or depressive symptoms in this study. However, attention should be paid to address associated factors identified among each group to promote good mental health.

Efficacy of non-invasive brain stimulation combined with antidepressant medications for depression: a systematic review and meta-analysis of randomized controlled trials

BACKGROUND

Antidepressants, noninvasive brain stimulation (NIBS), and their combination are commonly used in routine clinical practice. Nevertheless, there is a continuous dispute regarding whether the effectiveness of NIBS in combination with antidepressants exceeds that of antidepressants alone. This meta-analysis aimed to evaluate the existing evidence and draw a definitive conclusion on this issue.

METHODS

We conducted a comprehensive search of five databases: Embase, PubMed, Web of Science, SinoMed, and the Cochrane Database of Randomized Controlled Trials. The search was conducted until October 6, 2023. The primary outcomes were the pre- and post-intervention depression and anxiety scores. Secondary outcomes included dropout rates, response rates, and certain levels of neurotransmitters [ 5-hydroxytryptamine (5-HT), dopamine (DA), and gamma-aminobutyric acid (GABA)] at the end of the intervention. Subgroup, meta-regression, and sensitivity analyses were performed to explore the sources of heterogeneity. The data were analysed using R 4.2.2.

RESULTS

We included 18 RCTs [1357 participants; 11 studies used repetitive transcranial magnetic stimulation (rTMS) and 7 studies used transcranial direct current stimulation (tDCS)]. The follow-up duration varied from two weeks to three months. Overall, whether in combination with rTMS or tDCS, antidepressants proved more effective in alleviating depressive symptoms compared to when used as monotherapy. However, this advantage was not evident during the follow-up period. (p > 0.05). And the combination's efficacy in improving anxiety was found to be lacking. Post-treatment serum levels of 5-HT, DA, and GABA were higher in the rTMS group were higher than antidepressant medication group (p < 0.05). Furthermore, subgroup analysis results indicated that only the rTMS + antidepressant medication treatment significantly improved remission and remission rates. The meta-regression results showed that the type of antidepressant and the sex of the participants had a significant association with the depression score.

CONCLUSION

Combination treatment with NIBS was significantly more effective in improving depression symptoms than medication alone. rTMS combined with antidepressants appears to be more effective in improving response and remission rates. However, efficacy may be influenced by the type of medicine used in combination, and long-term efficacy data is lacking.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42023388259.

Long-term effects of Omicron BA.2 breakthrough infection on immunity-metabolism balance: a 6-month prospective study

There have been reports of long coronavirus disease (long COVID) and breakthrough infections (BTIs); however, the mechanisms and pathological features of long COVID after Omicron BTIs remain unclear. Assessing long-term effects of COVID-19 and immune recovery after Omicron BTIs is crucial for understanding the disease and managing new-generation vaccines. Here, we followed up mild BA.2 BTI convalescents for six-month with routine blood tests, proteomic analysis and single-cell RNA sequencing (scRNA-seq). We found that major organs exhibited ephemeral dysfunction and recovered to normal in approximately six-month after BA.2 BTI. We also observed durable and potent levels of neutralizing antibodies against major circulating sub-variants, indicating that hybrid humoral immunity stays active. However, platelets may take longer to recover based on proteomic analyses, which also shows coagulation disorder and an imbalance between anti-pathogen immunity and metabolism six-month after BA.2 BTI. The immunity-metabolism imbalance was then confirmed with retrospective analysis of abnormal levels of hormones, low blood glucose level and coagulation profile. The long-term malfunctional coagulation and imbalance in the material metabolism and immunity may contribute to the development of long COVID and act as useful indicator for assessing recovery and the long-term impacts after Omicron sub-variant BTIs.

Evolution of the profiles of new psychotropic drug users before and during the COVID-19 crisis: an original longitudinal approach through multichannel sequence analysis using the French health-care database

The COVID-19 pandemic has had a substantial impact on mental health. An increase in the use of anxiolytic, hypnotic, and antidepressant drugs has been highlighted in France, but with no information at the individual level (trajectories) or concerning patient characteristics. The objective of this study was to describe the profile of new psychotropic drug users since the beginning of the pandemic. We formed two historical cohorts using the Pays-de-la-Loire regional component of the National Health Data System (SNDS): a "COVID-19 crisis cohort" (2020-2021) and a "control cohort" (2018-2019). We analyzed reimbursements for psychotropic medications (anxiolytics, antidepressants, hypnotics, mood stabilizers, and antipsychotics) using a multichannel sequence analysis and performed clustering analysis of sequences. The proportion of new consumers of psychotropic drugs was higher in the COVID-19 crisis cohort (18.0%) than that in the control cohort (16.0%). In the COVID-19 cohort, three clusters of psychotropic drug users were identified, whereas four clusters were identified in the control cohort. A time lag in treatment initiation was observed in the COVID-19 crisis cohort (September) compared with the control cohort (July). This study is one of the first to analyze the profile of psychotropic treatment users during the COVID-19 crisis. Our analysis sheds light on changes in patterns of psychotropic drug use during the COVID-19 pandemic, possibly associated with changes in prescribing conditions and mental health conditions during the crisis. This study also provides an example of the application of an innovative longitudinal analysis methodology in the field of pharmacoepidemiology.

Risk factors associated with depression and anxiety among the Chinese general population after retracting the dynamic zero-COVID policy: A network analysis

BACKGROUND

Recent studies have evidenced the negative psychological consequences of the COVID-19 pandemic and sociodemographic vulnerability among the general population, while limited information was available on which factors make the greatest contribution to psychological distress when these factors were considered concurrently. Herein, we aimed to investigate the pathways that underlie psychological distress in the context of retracting dynamic zero-COVID policy.

METHODS

We employed the mixed graphical model to construct the network of depression (PHQ-9), anxiety (GAD-7), and pandemic-related factors in a general population sample (N = 1610). Then, we re-examined the network by adding sociodemographic variables to further explore the influence of sociodemographic factors. Additionally, we repeated the analyses in the second sample (N = 620) collected in the same period to assess the replicability.

RESULTS

The relationships between the pandemic factors and anxiety and depressive symptoms exhibited a tendency to decrease after adding demographic variables, and income became the most important node and shared edge weights with all anxiety and depressive symptoms. These findings were replicable with the second sample. No significant difference in the network properties was detected between the two samples.

LIMITATIONS

The cross-sectional design limits the ability to observe longitudinal changes in these risk factors and their relationship with psychological distress.

CONCLUSIONS

Income level, rather than the pandemic-related factors, acted as a vital role in the psychological distress of the general population, implying that livelihood issues may be the critical intervention targets for mental health during the post-pandemic period.

A mixed method study on the impact of COVID-19 on mental healthcare in Ghana: rethinking mental health service delivery

BACKGROUND

Since its emergence, Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has caused severe health, social and economic challenges. Mental healthcare has been significantly affected globally, and even worse in developing countries. An emerging economy like Ghana in West Africa was not spared its disruptive effects. This study aimed to elucidate the impact of the coronavirus disease 2019, the COVID-19 pandemic (caused by SARS-CoV-2), on Ghana's mental healthcare system.

METHODS

This is a mixed-method study using an emergent sequential exploratory design. A total of 15 front-line healthcare professionals were recruited from the three psychiatric hospitals, including the mental health department of a new teaching hospital in Ghana. Purposive sampling techniques and a semi-structured interview approach were used for recruitment and data collection. Quantitative data from hospital registries were collected and analysed to triangulate qualitative findings.

RESULTS

Fifteen mental health workers were enrolled in the study. The mean age of participants was (34.47 ± 4.07) years, average work experience of (6.23 ± 3.64) years and the majority as males (60%). This study found an average decline of 23% in hospital attendance and a 35% decline in admissions in all four facilities compared to the previous year, 2019. The lived experiences shared by mental healthcare providers were grouped under 3 main themes: Adjustments to workplace regulations, accessibility to mental healthcare, and psychological wellbeing of mental healthcare workers. The fear of contracting SARS-CoV-2 among healthcare workers, medication shortages, and logistical challenges were also reported to affect Mental Health services during the pandemic.

CONCLUSION

This study highlights the challenges in mental healthcare during the COVID-19 pandemic in Ghana. The experiences encountered present an opportunity to gain insights into future pandemic preparedness and establish a framework for optimal mental healthcare delivery in Ghana.

Impact of Stress during COVID-19 Pandemic in Italy: A Study on Dispositional and Behavioral Dimensions for Supporting Evidence-Based Targeted Strategies

The COVID-19 pandemic caused critical mental health issues and lifestyle disruptions. The aim of this study was to explore, during the lockdown of second-wave contagions in Italy, how stress was affected by dispositional (personality factors and intolerance to uncertainty) and behavioral (coping strategies) dimensions, how these variables differed among sex, age, educational, professional, and health groups, and how the various changes in work and daily routine intervened in the psychological impact of the emergency. Our results highlight that women, the youngs, students/trainees, those with chronic diseases, those who stopped their jobs due to restrictions, and those who left home less than twice a week were more stressed, while health professionals showed lower levels of the same construct. Those with higher levels of stress used more coping strategies based on avoidance, which positively correlated with age, agreeableness, conscientiousness, and intolerance to uncertainty, and negatively with openness. Stress levels also positively correlated with agreeableness, conscientiousness, intolerance to uncertainty, and seeking of social support, and negatively with openness, a positive attitude, and a transcendent orientation. Finally, stress was predicted mainly by behavioral dimensions. Our results are discussed and framed within the literature, as important insights for targeted intervention strategies to promote health even in emergencies.

Suicide and the COVID-19 pandemic: A qualitative study of discourse on an online pro-choice for suicide discussion forum

The COVID-19 pandemic had a widespread impact on millions of individuals. Many turned to social media as an outlet for sharing personal experiences, such as the impact of the pandemic on suicidality. The purpose of this study was to understand the pandemic's impact on individuals who discuss their suicidality on social media. Keywords were used to search for discussion threads (N = 118) related to the pandemic on an online pro-choice for suicide forum. Using reflexive thematic analysis, six themes related to the pandemic's impact on mental health, suicidality, living conditions, and optimism were identified. Examination of the content from pro-choice for suicide forums may yield authentic information on the impact of the pandemic on those considering suicide. This study contributes to our understanding of the nuances of factors impacting mental health and suicidality during the pandemic, including unique risk and protective factors.

Social support and mental well-being among people with and without chronic illness during the Covid-19 pandemic: evidence from the longitudinal UCL covid survey

PURPOSE

An immediate research priority recovering from the COVID-19 pandemic is well-being among some of our most vulnerable-people with chronic illness. We studied how mental health changed among people with and without chronic illness throughout the pandemic and the mediating role of social support.

METHODS

We used the 3-waves of COVID-19 survey within the Millennium Cohort Study (MCS, age 19, N = 5522) and MCS Parent (MCSP, age > > 19, N = 7479) samples, with additional pre-pandemic measures of some outcomes and exposure. Using Structural Equation Panel Models with Full Information Maximum Likelihood estimation to address missing data, we studied differences between respondents with a chronic illness and without, regarding depressive symptoms and mental well-being, with social provision, social support, and loneliness as potential mediators.

RESULTS

Mental well-being (SWEMWBS) and psychological distress (Kessler-6) worsened significantly during the pandemic relative to baseline for people with and without chronic illness, while the latter group had substantially better well-being at all waves and the baseline regarding both outcomes. When the lockdown was lifted during wave-2, mental well-being temporarily rebounded, and distress waned among people without chronic illness but continued to worsen among people with chronic illness. Social support partially mediated the link between chronic illness and mental well-being.

CONCLUSIONS

The large mental well-being gap between people with and without chronic illness persisted during the pandemic. However, social support and provision can partially narrow this gap, hence should be employed in future pandemic management.

Symptomology following COVID-19 among adults in Alberta, Canada: an observational survey study

OBJECTIVE

Fatigue, headache, problems sleeping and numerous other symptoms have been reported to be associated with long COVID. However, many of these symptoms coincide with symptoms reported by the general population, possibly exacerbated by restrictions/precautions experienced during the COVID-19 pandemic. This study examines the symptoms reported by individuals who tested positive for COVID-19 compared with those who tested negative.

DESIGN

Observational study.

SETTING

The study was conducted on adult residents in Alberta, Canada, from October 2021 to February 2023.

PARTICIPANTS

We evaluated self-reported symptoms in 7623 adults with positive COVID-19 tests and 1520 adults who tested negative, using surveys adapted from the internationally standardised International Severe Acute Respiratory and emerging Infection Consortium (ISARIC)-developed COVID-19 long-term follow-up tools. These individuals had an index COVID-19 test date between 1 March 2020 and 31 December 2022 and were over 28 days post-COVID-19 testing.

PRIMARY OUTCOME MEASURES

The primary outcomes were to identify the symptoms associated with COVID-19 positivity and risk factors for reporting symptoms.

RESULTS

Fatigue was the top reported symptom (42%) among COVID-19-positive respondents, while headache was the top reported symptom (32%) in respondents who tested negative. Compared with those who tested negative, COVID-19-positive individuals reported 1.5 times more symptoms and had higher odds of experiencing 31 out of the 40 listed symptoms during the postinfectious period. These symptoms included olfactory dysfunction, menstruation changes, cardiopulmonary and neurological symptoms. Female sex, middle age (41-55 years), Indigeneity, unemployment, hospital/intensive care unit (ICU) admission at the time of testing and pre-existing health conditions independently predicted a greater number and variety of symptoms.

CONCLUSIONS

Our results provide evidence that COVID-19 survivors continue to experience a significant number and variety of symptoms. These findings can help inform targeted strategies for the unequally affected population. It is important to offer appropriate management for symptom relief to those who have survived the acute COVID-19 illness.

Public Perception Toward the Malaysian National COVID-19 Immunisation Programme (PICK) in the State of Sabah, Malaysia: A Cross-Sectional Survey

The Malaysian Government has initiated the National COVID-19 Immunisation Programme, known as PICK, to be a national strategy for addressing the spread of the coronavirus disease (COVID-19) pandemic across the country. Although the government intensified public awareness to increase program registration, the total number that registered in the state of Sabah, located in East Malaysia, was relatively low during August 2021, accounting for only 42.9% as compared to that of Peninsular Malaysia. Therefore, this paper examines the public perception toward the PICK program in Sabah based on 4 main components: safety, communication, psychology, and milieu. This study is based on the empirical findings drawn from 1024 respondents across Sabah using online Google Form surveys. This study adopts 5 methodologies for data analysis by using K-means clustering, mean score, Mann-Whitney U test, spatial analysis, and frequency analysis. It has been revealed that the percentage of respondents (categorized as Cluster 1) who have a negative perception toward the vaccination program is higher (55.9%) than those who have a positive perception (44.1%). This study further discovered that Cluster 1 has shown high skepticism regarding the vaccination program, which can be explained through the communication component (M = 3.33, SD = 0.588), especially Co2, Co3, Co1, and Co4. Following the communication factor, a chain of negative perceptions also affects other components such as safety, psychology, and milieu among Cluster 1, all of which contribute to poor participation in the PICK program. The study outcomes are extremely useful for informing local authorities to establish policies related to public interests, primarily in the areas of public health. Understanding the community's perspectives and their obstacles in participating in such programs may assist local authorities in developing or implementing public policies and campaigns that ensure such related public programs can be conducted more effectively in the future.

Workforce wellbeing centres and their positive role for wellbeing and presenteeism in healthcare workers during the COVID-19 pandemic: secondary analysis of COVID-Well data

BACKGROUND

Supported wellbeing centres established during the COVID-19 pandemic provided high quality rest spaces and access to peer-to-peer psychological first aid for healthcare workers (HCWs). The centres were well accessed and valued by HCWs, but their relationship with wellbeing and job-related factors is not well established. The aim of this study was to explore the relationship between wellbeing centre use, HCWs wellbeing and job-related factors (job stressfulness, job satisfaction, presenteeism, turnover intentions).

METHODS

Secondary analysis of data from 819 HCWs from an acute hospital trust who completed an online survey in April-July 2020, as part of the COVID-Well study. Measures included the Warwick Edinburgh Mental Wellbeing Scale, and four single-item global measures of job stressfulness, job satisfaction, presenteeism and turnover intentions. ANCOVA models and regression analyses were conducted on these data.

RESULTS

HCWs who had not accessed the wellbeing centres had lower wellbeing (β = 0.12, p < .001), higher job stressfulness (β = - 0.22, p < .001), lower job satisfaction (β = 0.39, p < .001), higher presenteeism (β = - 0.22, p < .001) and were of younger age (β = 0.09, p = .002). Centre use was associated with wellbeing irrespective of job stressfulness. Those reporting presenteeism and who accessed the centre (M = 3.30, SE = 0.04) had higher wellbeing than those who accessed the centre but did not report presenteeism (M = 3.06, SE = 0.04) (F(1, 791) = 18.65, p < .001, ηp2 = 0.02). Centre use was not significantly associated with turnover intentions (B = - 0.30, p = .13; Wald = 2.26; odds = 0.74), while job stress and job satisfaction showed significant effects.

CONCLUSIONS

Accessing wellbeing centres was associated with higher wellbeing of HCWs, particularly for those reporting presenteeism. Therefore, the centres may have provided greatest respite and restoration for those present at work but not in optimal health. Younger workers were disproportionately affected in terms of wellbeing, and targeted support for this population is needed. Strategies to decrease presenteeism and maximise job satisfaction are urgently required. Healthcare organisations should provide rest spaces and psychological support to HCWs for the long-term, as part of a systems-wide approach to improving workforce health and wellbeing.

Assessing the impact of COVID-19 on self-reported levels of depression during the pandemic relative to pre-pandemic among Canadian adults

OBJECTIVES

This study aims to assess the impact of COVID-19 related risk factors on self-reported increases in depression among Canadian adults during the pandemic compared to pre-pandemic levels. We aim to investigate the interactive effects of stressors, including social isolation, financial stress, and fear of catching COVID-19, on mental health outcomes. Our study aims to provide insights for the development of prevention and intervention strategies to address the mental health effects of the pandemic by examining the psychological changes attributable to the pandemic and its impact.

METHODS

This study used data collected from the Mental Health Research Canada online survey during the third wave of COVID-19 (April 20-28, 2021). The study examined the impact of COVID-19 related factors, including social isolation, financial concerns, fear of catching COVID-19, and concerns about paying bills, on self-reported increases in depression. Multivariable logistic regression models were utilized to examine these associations, with adjustments made for potential confounding variables. All statistical analysis was performed using SAS V9.4 (SAS Institute Inc., Cary, NC, USA).

RESULTS

Participants reporting social isolation, financial concerns, and fear of catching COVID-19 were more likely to report increased depression. An interaction was observed between concerns for paying bills and catching COVID-19 in relation to depression (p = 0.0085). In other words, the effect of concerns about paying bills on depression was stronger for individuals who also had a fear of catching COVID-19, and vice versa. Young adults, females, patients with pre-existing depression, and residents of certain provinces reported higher levels of depression during COVID-19.

CONCLUSION

Our study underscores the significant impact of the COVID-19 pandemic on mental health, particularly among certain demographic groups. It emphasizes the need for depression screening and increased support for mental health during the pandemic, with a focus on mitigating financial burdens and reducing negative psychological impacts of social isolation. Our findings highlight the complex interplay between different stressors and the need to consider this when designing interventions to support mental health during times of crisis.

Incidence of mental health diagnoses during the COVID-19 pandemic: a multinational network study

AIMS

Population-wide restrictions during the COVID-19 pandemic may create barriers to mental health diagnosis. This study aims to examine changes in the number of incident cases and the incidence rates of mental health diagnoses during the COVID-19 pandemic.

METHODS

By using electronic health records from France, Germany, Italy, South Korea and the UK and claims data from the US, this study conducted interrupted time-series analyses to compare the monthly incident cases and the incidence of depressive disorders, anxiety disorders, alcohol misuse or dependence, substance misuse or dependence, bipolar disorders, personality disorders and psychoses diagnoses before (January 2017 to February 2020) and after (April 2020 to the latest available date of each database [up to November 2021]) the introduction of COVID-related restrictions.

RESULTS

A total of 629,712,954 individuals were enrolled across nine databases. Following the introduction of restrictions, an immediate decline was observed in the number of incident cases of all mental health diagnoses in the US (rate ratios (RRs) ranged from 0.005 to 0.677) and in the incidence of all conditions in France, Germany, Italy and the US (RRs ranged from 0.002 to 0.422). In the UK, significant reductions were only observed in common mental illnesses. The number of incident cases and the incidence began to return to or exceed pre-pandemic levels in most countries from mid-2020 through 2021.

CONCLUSIONS

Healthcare providers should be prepared to deliver service adaptations to mitigate burdens directly or indirectly caused by delays in the diagnosis and treatment of mental health conditions.

The Effects of COVID-19 on the Mental Health of Children and Adolescents: A Review

The COVID-19 pandemic, caused by the SARS-CoV-2 virus, has profoundly affected global health and well-being. As part of the Coronaviridae family, SARS-CoV-2 joins a diverse group of viruses found in both humans and various animal species, including bats, camels, and cats. The pandemic has led to widespread social isolation, reduced physical activity, and significant lifestyle changes, posing potential risks to individuals' mental and emotional health. This review aims to explore the implications of COVID-19 on the mental health of children and adolescents, given the limited attention this population has received in the medical literature. Multiple research studies in several countries have found that the COVID-19 pandemic is associated with greater stress levels, depression, anxiety, insomnia, drug misuse, and other mental health challenges among young individuals. Understanding the long-term effects of the pandemic on mental health is crucial for developing effective interventions and support systems to promote resilience and well-being in children and adolescents. Even after the pandemic ends, it is crucial to prioritize understanding the long-term impacts of the pandemic on mental health, integrating findings into public health strategies, addressing mental healthcare disparities, and fostering resilience in children and adolescents. Achieving these objectives requires collaborative efforts across various sectors to ensure equitable access to mental health resources and the implementation of sustainable solutions for the well-being of young people in the aftermath of the pandemic.

Comparison of Treatment Modality Crossovers in Telehealth and In-Person Behavioral Health Treatment in Rural Communities

Background: Treatment crossovers occur when one mode of treatment is begun and then a different mode of treatment is utilized. Treatment crossovers are frequently examined in randomized controlled trials, but have been rarely noted or quantitatively evaluated in usual care treatment studies. The purpose of this analysis is to examine the extent of modality crossovers during behavioral health treatment. Methods: The nonrandomized, prospective, multisite research design involved two active treatment groups-a telehealth treatment cohort and an in-person treatment cohort. Treatment modality (telehealth or in person) during each encounter was compared overall and across two time periods (pre- and during the COVID-19 pandemic) between the telehealth cohort and the in-person cohort. Results: Overall, modality crossovers were relatively uncommon (6.3%). However, patients in the in-person treatment cohort were more than twice as likely to have an encounter through telehealth (8.5%) than patients in the telehealth treatment cohort were to have an in-person encounter (3.4%) even though they had the same average number of encounters. The occurrence of off-mode encounters was particularly influenced by the onset of the COVID-19 pandemic. Conclusions: In this multisite usual care study comparing telehealth and in-person behavioral health treatment, modality crossovers were more common in the in-person cohort than the telehealth cohort, especially during the COVID-19 pandemic. Because telehealth availability has increased, crossovers are likely to increase in patients receiving multiple encounters for behavioral or chronic conditions and their occurrence should be noted by both researchers and practitioners.

Australian population norms for health-related quality of life measured using the EQ-5D-5L, and relationships with sociodemographic characteristics

BACKGROUND

Measuring health related quality-of-life (HRQoL) of the general population is essential to establish a reference for health outcome evaluations. This study sought to establish EQ-5D-5L population norms in Australia and to investigate the heterogeneity of HRQoL between sociodemographic variables.

METHODS

A cross-sectional study comprising of a representative sample of Australia's general population (n = 9958) aged 18 or older. Recruitment quotas were set for the Australian census population by age, sex, state/territory of residence and rurality. Participants were recruited by Qualtrics through its database of over 800,000 registered panel members and asked to value their own state of health using the EQ-5D-5L domains and the EuroQol-Visual Analogue Scale (EQ-VAS). An Australian value set developed using Discreet Choice Experiment was used to calculate utility scores.

RESULTS

The estimated mean EQ-5D-5L index for Australia's general population was 0.86 (standard deviation [SD] 0.19), and the EQ-VAS score was estimated as 73.2 (SD 21.7). 23.9% of the study population reported being in the best health state (11,111). Younger people, current smokers, people who are unemployed and people with more financial stress reported a lower EQ-5D-5L index score (p < 0.001). Residents in the major cities, inner regional and outer regional Australia reported higher health utility scores than those residing in remote and very remote Australia.

CONCLUSIONS

This is the first Australian study to apply the EQ-5D-5L in a nationally representative sample. The EQ-5D-5L Australian population norms obtained can be used as reference scores for future population health evaluations and comparisons. The findings facilitate a national reference for clinical, economic, and policy decision-making processes and provide a fuller understanding of the Australian population's HRQoL.

Capturing the College Experience: A Four-Year Mobile Sensing Study of Mental Health, Resilience and Behavior of College Students during the Pandemic

Understanding the dynamics of mental health among undergraduate students across the college years is of critical importance, particularly during a global pandemic. In our study, we track two cohorts of first-year students at Dartmouth College for four years, both on and off campus, creating the longest longitudinal mobile sensing study to date. Using passive sensor data, surveys, and interviews, we capture changing behaviors before, during, and after the COVID-19 pandemic subsides. Our findings reveal the pandemic's impact on students' mental health, gender based behavioral differences, impact of changing living conditions and evidence of persistent behavioral patterns as the pandemic subsides. We observe that while some behaviors return to normal, others remain elevated. Tracking over 200 undergraduate students from high school to graduation, our study provides invaluable insights into changing behaviors, resilience and mental health in college life. Conducting a long-term study with frequent phone OS updates poses significant challenges for mobile sensing apps, data completeness and compliance. Our results offer new insights for Human-Computer Interaction researchers, educators and administrators regarding college life pressures. We also detail the public release of the de-identified College Experience Study dataset used in this paper and discuss a number of open research questions that could be studied using the public dataset.

The prevalence and risk of depression in aged COVID-19 survivors: a bibliometric and meta-analysis

To explore depression prevalence and related risk factors among elderly coronavirus disease 2019 (COVID-19) survivors, while also evaluating research characteristics. We searched Web of Science, PubMed, Embase, Scopus, CNKI and Wanfang Data for studies that reported COVID-19 and depression in older adults. 'Bibliometrix' facilitated bibliometric analysis and information visualisation. Random-effects models merged depression prevalence and relevant risks. Publication bias and its impact were examined using funnel plots, Begg's test, Egger's linear regression, and trim-and-fill method. Meta-regression, bubble plots, and Baujat plots probed heterogeneity. Sensitivity analysis applied the leave-one-out method. The study is registered with PROSPERO, CRD42023417706. The bibliometric analysis comprised 138 studies. Publication frequency peaked in the US, China, and Italy, reflecting significant growth. The meta-analysis comprised 43 studies. Elderly COVID-19 patients exhibit 28.33% depression prevalence (95% CI: 21.24-35.97). Severe cases (43.91%, 95% CI: 32.28-55.88) experienced higher depression prevalence than mild cases (16.45%, 95% CI: 11.92-21.50). Sex had no depression prevalence impact based on bubble plots. Notably, depression risk did not significantly differ between elderly and young COVID-19 patients (odds ratio (OR) = 1.1808, 95% CI: 0.7323-1.9038). However, COVID-19 infection emerged as a substantial elderly depression risk factor (OR = 1.8521, 95% CI: 1.2877-2.6639). Sensitivity analysis confirmed result robustness. Elderly COVID-19 survivors are likely to develop depression symptoms with regional variations. Severe cases are associated with heightened depression prevalence. COVID-19 infection stands out as a key elderly depression risk factor, while sex does not influence prevalence. The field's expansion necessitates sustained collaboration and extensive research endeavours.